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OpenAI's AI Safety & Security team is hiring a Software Engineer to build tools and infrastructure that help understand and reduce risks from increasingly capable AI systems. The work spans cybersecurity, frontier-risk evaluations, and red teaming, with a focus on translating research and testing into practical, reliable systems.
You'll partner closely with researchers, security specialists, and other engineers to turn evolving questions into useful software. Projects span the stack: backend services, evaluation infrastructure, data pipelines, and internal applications for running tests, investigating model behavior, and reviewing results. This is a general software engineering role with room to contribute across multiple domains and develop deeper expertise in AI safety and security.
Key responsibilities:
- Design, build, and maintain software supporting cybersecurity research, frontier-risk evaluations, and red teaming
- Develop tools and workflows that make it easier to run evaluations, inspect results, and investigate failures
- Build services, APIs, data pipelines, and interfaces that help researchers work efficiently
- Turn experimental workflows into reusable, well-tested, and documented systems
- Own projects from problem understanding and solution design through implementation, deployment, and ongoing operation
- Improve reliability, performance, observability, security, and usability as needs evolve
- Collaborate across technical disciplines to identify useful problems and make practical technical decisions
Requirements:
- Strong software engineering fundamentals with experience building, shipping, and maintaining production software
- Proficiency in a general-purpose programming language and comfort learning unfamiliar tools and systems
- Experience in one or more areas: backend development, full-stack applications, infrastructure, or data systems
- Ability to take open-ended problems, clarify what matters, and deliver useful solutions
- Balance rapid iteration with maintainable design and operational reliability
- Clear communication and enjoyment working with people across technical disciplines
- Interest in understanding advanced AI systems and helping address their risks
- Valuable but not required: experience with security, developer tools, research infrastructure, evaluation platforms, distributed systems, AI applications, AI research, or cybersecurity
